Published May 2020 | Version v1
Journal article

HEPfit. A code for the combination of indirect and direct constraints on high energy physics models

  • 1. INFN, Sezione di Padova (Italy)
  • 2. Dipartimento di Fisica e Astronomia "Galileo Galilei", Università di Padova (Italy)
  • 3. Laboratoire de Physique Théorique (UMR8627), CNRS, University Paris-Sud, Université Paris-Saclay, Orsay (France)
  • 4. Centre de Physique Théorique, CNRS, École Polytechnique, IP Paris, Palaiseau (France)
  • 5. INFN, Sezione di Roma Tre (Italy)

Description

HEPfit is a flexible open-source tool which, given the Standard Model or any of its extensions, allows to (i) fit the model parameters to a given set of experimental observables; (ii) obtain predictions for observables. HEPfit can be used either in Monte Carlo mode, to perform a Bayesian Markov Chain Monte Carlo analysis of a given model, or as a library, to obtain predictions of observables for a given point in the parameter space of the model, allowing HEPfit to be used in any statistical framework. In the present version, around a thousand observables have been implemented in the Standard Model and in several new physics scenarios. In this paper, we describe the general structure of the code as well as models and observables implemented in the current release.

Availability note (English)

Available from: http://dx.doi.org/10.1140/epjc/s10052-020-7904-z

Additional details

Publishing Information

Journal Title
European Physical Journal. C, Particles and Fields (Online)
Journal Volume
80
Journal Issue
5
Journal Page Range
p. 1-31
ISSN
1434-6052
CODEN
EPCFFB

Optional Information

Notes
AID: 456